Udemy - Automatic Scanned Document Data Extraction OCR NER in Pyt...

 Automatic Scanned Document Data Extraction OCR NER in Python  https://TutGee.com Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.14 GB | Duration: 3h 6mLearn and Build Business Card Scanner App from Scratch with Python, Spacy, Pytesseract.What you'll learnDevelop and Train Named Entity Recognition ModelNot only Extract text from the Image but also Extract Entities from Business CardDevelop Business Card Scanner like ABBY from ScratchHigh Level Data Preprocess Techniques for Natural Language ProblemReal Time NER appsDescriptionWelcome to Course "Automatic Scanned Document Data Extraction OCR NER in Python" !!!In this course you will learn how to develop customized Named Entity Recognizer. The main idea of this course is to extract entities from the scanned documents like invoice, Business Card, Shipping Bill, Bill of Lading documents etc. However, for the sake of data privacy we restricted our views to Business Card. But you can use the framework explained to all kinds of financial documents. Below given is the curriculum we are following to develop the project.Section -0 : Setting Up Project